Drive your data with one converged platform.

MapR enables our customers to transform themselves using the power of data to create extraordinary business advantage and become more agile, grow faster, while reducing IT spend. We provide the industry’s only converged data platform that uniquely allows applying analytical insights to operational processes in real time. This enables our customers to create new offerings faster, and respond faster to competitive market pressures.

In this week's Whiteboard Walkthrough, Ellen Friedman, Solutions Consultant at MapR, describes what happens when certain fundamental big data capabilities are engineered together as a part of the same technology. This brief overview compares the converged data platform as a foundation for big data projects versus building solutions on a base of separate pieces.

This post will help you get started using Apache Spark Streaming for consuming and publishing messages with MapR Streams and the Kafka API. Spark Streaming is an extension of the core Spark API that enables continuous data stream processing.

Building a robust, responsive, secure data service for healthcare is tricky. For starters, healthcare data lends itself to multiple models: Document representation for patient profile views or updates; Graph representation to query relationships between patients, providers, and medications; Search representation for advanced lookups. This post will describe how stream-first architectures can solve these challenges, and look at how this has been implemented at Liaison Technologies.